You're reading from Django in Production Expert tips, strategies, and essential frameworks for writing scalable and maintainable code in Django

Product type Paperback

Published in Apr 2024

Publisher Packt

ISBN-13 9781804610480

Length 348 pages

Edition 1st Edition

Languages

Python

Tools

Django

Concepts

Server Side Web Development

Author (1):

Arghya Saha

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1 – Using Django and DRF to Build Modern Web Application

2. Chapter 1: Setting Up Django with DRF FREE CHAPTER

3. Chapter 2: Exploring Django ORM, Models, and Migrations

4. Chapter 3: Serializing Data with DRF

5. Chapter 4: Exploring Django Admin and Management Commands

6. Chapter 5: Mastering Django Authentication and Authorization

7. Part 2 – Using the Advanced Concepts of Django

8. Chapter 6: Caching, Logging, and Throttling

9. Chapter 7: Using Pagination, Django Signals, and Custom Middleware

10. Chapter 8: Using Celery with Django

11. Chapter 9: Writing Tests in Django

12. Chapter 10: Exploring Conventions in Django

13. Part 3 – Dockerizing and Setting Up a CI Pipeline for Django Application

14. Chapter 11: Dockerizing Django Applications

15. Chapter 12: Working with Git and CI Pipelines Using Django

16. Part 4 – Deploying and Monitoring Django Applications in Production

17. Chapter 13: Deploying Django in AWS

18. Chapter 14: Monitoring Django Application

19. Index

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Integrating APM tools

Suppose we develop, test, and optimize our application on our local development setup. Now, when we deploy our changes to production, everything is working fine, but suddenly, after a week, users complain about slow response times and panic mode starts. What do we do now? How do we debug the reason for degraded performance in production? To solve this problem, we use APM tools such as New Relic.

APM tools help us identify all performance bottlenecks and root causes of them. Degraded performance can be due to a badly written DB query, badly written application code, or maybe a higher number of user requests. Whatever the reason, APM tools can help us identify the issues and guide us to the right root cause with less guesswork and more data-driven conclusions.

There are different APM tools available, such as New Relic, DataDog, Chronosphere, Splunk, and so on. We shall learn about New Relic in this book, but you can easily follow the official documentation...